基于多源数据融合的资源统计方法研究  

Research on resource statistics method based on multi-source data fusion

作　　者：赵建林 薛善斌 ZHAO Jianlin;XUE Shanbin(Jinan Branch of China Telecom,Jinan 250100,China)

机构地区：[1]山东电信济南分公司,济南250100

出　　处：《计算机应用文摘》2024年第24期197-199,203,共4页

摘　　要：以多源数据为载体,应用融合方法对基础地理资源进行统计。利用现有国家地理信息系统(Geographic Information Systems,GIS)数据和不同类型大地测量数据,对不同方法生成的数据进行语义区分和分析,以生成无需缩放的基本地理信息系统数据。在此基础上,逐步更新和衍生多种来源的数据,以提高数据交换的时效性,为新一代基础制图系统奠定基础。实践证明,这种方法可以有效提高基础地理信息数据的准确性,实现长期动态更新,改变对遥感或野外采集的依赖,提高工作效率。Using multi-source data as a carrier,applying fusion methods to statistically analyze basic geographic resources.Utilize existing Geographic Information Systems(GIS)data and different types of geodetic survey data to semantically distinguish and analyze data generated by different methods,in order to generate basic GIS data that does not require scaling.On this basis,gradually update and derive data from multiple sources to improve the timeliness of data exchange and lay the foundation for the new generation of basic mapping systems.Practice has proven that this method can effectively improve the accuracy of basic geographic information data,achieve long-term dynamic updates,change dependence on remote sensing or field collection,and improve work efficiency.

关 键 词：多源数据 融合 地理信息数据 资源统计 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]